Syracuse University iSchool Professor Publishes Introduction to Data Science Textbook Online (Open Source)

From the Syracuse U. iSchool:

In a world increasingly muddled by the proliferation of information, how can anyone hope to filter, organize, curate, and make sense of it all?
That’s the job of data scientists, an emerging professional specialty in the information field. An  introduction to the discipline—along with a sampling of what a data science education is like—is the crux of a new e-book by School of Information Studies (iSchool) professor and Associate Dean for Research and Doctoral Programs Jeffrey M. Stanton.
In the recently-debuted open source text, Introduction to Data Science, Professor Stanton offers a resource for a range of interests and audiences. The content was designed specifically for use in two iSchool courses, IST 718 (Advanced Information Analytics) and IST 719 (Data Visualization), offerings in the Certificate in Advanced Studies in Data Science. That CAS is a new iSchool program that kicks off formally this fall.
The book doesn’t presume that readers have prior knowledge in computer science or statistics, so that “students who might not otherwise consider themselves analytically oriented, or who haven’t taken a lot of mathematics or computer science before” can look into the field, Stanton said. Structured for novices (each chapter of the book builds on the previous one), its content also will be of interest to those with previous experience and knowledge, given its many chapters on specific topics, the author said.
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The book’s formatted version is available as a pdf download from Stanton’s website [free].
The iTunes version (with interactive features, including quizzes readers can use to assess their knowledge, is located on Apple’s iTunes store [free].

Learn More About the Book and Professor Stanton

Filed under: Data Files